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sent2vec


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Author: Pedram Ataee
License: MIT
Summary: How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.
Latest version: 0.3.0
Required dependencies: gensim | numpy | pytest | spacy | torch | transformers

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